Seyed Mehran Kazemi

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Papers (11)

1. Time2Vec: Learning a Vector Representation of Time cs.LG · 2019 · author #1
2. Diachronic Embedding for Temporal Knowledge Graph Completion cs.LG · 2019 · author #2
3. Structure Learning for Relational Logistic Regression: An Ensemble Approach cs.LG · 2018 · author #5
4. Record Linkage to Match Customer Names: A Probabilistic Approach cs.DB · 2018 · author #2
5. SimplE Embedding for Link Prediction in Knowledge Graphs stat.ML · 2018 · author #1
6. RelNN: A Deep Neural Model for Relational Learning stat.ML · 2017 · author #1
7. Comparing Aggregators for Relational Probabilistic Models stat.ML · 2017 · author #1
8. Domain Recursion for Lifted Inference with Existential Quantifiers cs.AI · 2017 · author #1
9. New Liftable Classes for First-Order Probabilistic Inference cs.AI · 2016 · author #1
10. A Learning Algorithm for Relational Logistic Regression: Preliminary Results cs.AI · 2016 · author #2
11. Why is Compiling Lifted Inference into a Low-Level Language so Effective? cs.AI · 2016 · author #1

Mentions

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Frequent Coauthors

• David Poole 9 shared papers
• Bahare Fatemi 4 shared papers
• Angelika Kimmig 2 shared papers
• Guy Van den Broeck 2 shared papers
• Marcus Brubaker 2 shared papers
• Pascal Poupart 2 shared papers
• Rishab Goel 2 shared papers
• Alexandra Kim 1 shared papers
• Cathal Smyth 1 shared papers
• Gautam Kunapuli 1 shared papers
• Janahan Ramanan 1 shared papers
• Jaspreet Sahota 1 shared papers
• Kristian Kersting 1 shared papers
• Matthew Dirks 1 shared papers
• Moumita Roy Tora 1 shared papers
• Nandini Ramanan 1 shared papers
• Sanjay Thakur 1 shared papers
• Sepehr Eghbali 1 shared papers
• Sriraam Natarajan 1 shared papers
• Stella Wu 1 shared papers